def generated_library(pygen_output_dir):
rset = ResourceSet()
resource = rset.get_resource(URI('input/library.ecore'))
library_model = resource.contents[0]
generator = EcoreGenerator()
generator.generate(library_model, pygen_output_dir)
return importlib.import_module('library')
def generated_metamodel(pygen_output_dir):
rset = ResourceSet()
resource = rset.get_resource(URI('input/A.ecore'))
library_model = resource.contents[0]
generator = EcoreGenerator(with_dependencies=True)
generator.generate(library_model, pygen_output_dir)
return importlib.import_module('a')
def generate_meta_model(model,
output_dir,
*,
user_module=None,
auto_register_package=None):
generator = EcoreGenerator(user_module=user_module,
auto_register_package=auto_register_package)
generator.generate(model, output_dir)
return importlib.import_module(model.name)
def generate_code():
def format_autopep8(raw: str) -> str:
import autopep8
return autopep8.fix_code(raw, options={'experimental': True})
rset = setup_resourceset()
uml_root = rset.get_resource('model/uml.ecore').contents[0]
generator = EcoreGenerator(user_module='pyuml2.uml_mixins')
for task in generator.tasks:
task.formatter = format_autopep8
generator.generate(uml_root, 'pyuml2')
# This File reads the metamodel, reads the model and implements all
# the behavior of the Classes to introduce ROS code in every component
# Written in 14/2/2020
# Written by Rafael Brouzos
from pyecore.resources import ResourceSet, URI, global_registry
from pyecore.resources.json import JsonResource
from pyecore.ecore import EClass, EAttribute
import pyecore.ecore as Ecore
from pyecoregen.ecore import EcoreGenerator
import pyecore.behavior as behavior
from pyecore.utils import DynamicEPackage
import os
# We load the Ecore metamodel first
global_registry[Ecore.nsURI] = Ecore
rset = ResourceSet()
resource = rset.get_resource(URI('metageneros.ecore'))
# ~ rset.resource_factory['json'] = lambda uri: JsonResource(uri)
root = resource.contents[0] # We get the root (an EPackage here)
# Register the metamodel (in case we open an XMI model later)
rset.metamodel_registry[root.nsURI] = root
# ~ model_root.hasPackages[0].package_init()
# ~ for x in model_root.hasPackages[0].allInstances():
# ~ print(x) # display 2 instances
# ~ os.chdir('/home/raf/Desktop/Thesis Project/ecoreWork')
generator = EcoreGenerator()
generator.generate(root, '')
kpi_costs = KPI(name="KPI Total costs",
value=None,
quantityAndUnit=costs_unit)
# Add CO2-emissions and total costs KPIs to KPIs
es.instance[0].area.KPIs.kpi.append(kpi_co2)
es.instance[0].area.KPIs.kpi.append(kpi_costs)
print("Energy system: {}".format(attr_to_dict(es)))
print("OutPort connectedTo: {}".format(outPort.connectedTo))
print("InPort connectedTo: {}".format(inPort.connectedTo))
resource = rset.create_resource(URI('mpoc.esdl'))
resource.append(es)
resource.save()
if __name__ == '__main__':
# Load the ESDL model from GitHub
rset = ResourceSet()
resource = rset.get_resource(
HttpURI(
'https://raw.githubusercontent.com/EnergyTransition/ESDL/master/esdl/model/esdl.ecore'
))
esdl_model = resource.contents[0]
# Generate the classes
generator = EcoreGenerator()
generator.generate(esdl_model, ".")
main()